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  1. config.yml +54 -0
  2. pytorch_model.bin +3 -0
config.yml ADDED
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+ log_dir: "Models/run_timbre_norm_ctc_titanet/"
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+ save_freq: 1
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+ log_interval: 10
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+ save_interval: 1000
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+ device: "cuda"
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+ epochs: 1000 # number of epochs for first stage training (pre-training)
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+ batch_size: 4
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+ batch_length: 100 # maximum duration of audio in a batch (in seconds)
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+ max_len: 80 # maximum number of frames
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+ pretrained_model: ""
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+ load_only_params: False # set to true if do not want to load epoch numbers and optimizer parameters
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+
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+ F0_path: "modules/JDC/bst.t7"
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+
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+ data_params:
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+ train_data: "./data/train.txt"
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+ val_data: "./data/val.txt"
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+ root_path: "./data/"
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+
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+ preprocess_params:
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+ sr: 24000
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+ spect_params:
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+ n_fft: 2048
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+ win_length: 1200
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+ hop_length: 300
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+
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+ model_params:
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+ fixed: True
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+ causal: True
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+ lstm: 2
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+ norm_f0: True
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+ use_gr_content_f0: False
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+ use_gr_prosody_phone: False
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+ use_gr_timbre_prosody: False
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+ separate_prosody_encoder: True
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+ n_c_codebooks: 2
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+ timbre_norm: True
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+ use_gr_content_global_f0: True
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+ w2v: 'w2v-ctc'
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+
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+ DAC:
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+ encoder_dim: 64
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+ encoder_rates: [2, 5, 5, 6]
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+ decoder_dim: 1536
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+ decoder_rates: [ 6, 5, 5, 2 ]
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+ sr: 24000
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+
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+ loss_params:
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+ base_lr: 0.0001
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+ discriminator_iter_start: 2000
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+ lambda_spk: 1.0
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+ lambda_mel: 45
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+ lambda_f0: 1.0
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+ lambda_uv: 1.0
pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:26cb58854bf8ce8a9881b988bdbb794837e0ac9517c360dbd591fcc7636b6056
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+ size 1498724106